Vocabulary

Vocabulary

Python Versions Build Status

A dictionary magician in the form of a module!

What is it?
Features
Why should I use Vocabulary
- Wordnet Comparison
Installation
- pip
- from source
Usage
- Demo
- Help
How does it Work
Contributing
- To Do
- Tests
- Known Issues
Changelog
Bugs
License

What is it

For a given word, using Vocabulary, you can get it's

Meaning
- Synonyms
- Antonyms
Part of speech : whether the word is a noun, interjection or an adverb et el
Usage example : a quick example on how to use the word in a sentence
Pronuciation
Hyphenation : shows the particular stress points(if any)

Features

Written in uncomplicated Python
Returns JSON objects
Minimum dependencies ( just uses requests (https://github.com/kennethreitz/requests))
Easy to install
A decent substitute to Wordnet(well almost!) Wanna see? Here is a small comparison
Stupidly easy to use
Fast!
Supports
- both, python2.* and python3.*
- Works on Mac, Linux and Windows

Why should I use Vocabulary

Wordnet is a great resource. No doubt about it! So why should you use Vocabulary when we already have Wordnet out there?

My 2 cents

Wordnet Comparison

Let's say you want to find out the synonyms for the word car.

Using Wordnet

>>> from nltk.corpus import wordnet
>>> syns = wordnet.synsets('car')
>>> syns[0].lemmas[0].name
'car'
>>> [s.lemmas[0].name for s in syns]
['car', 'car', 'car', 'car', 'cable_car']

>>> [l.name for s in syns for l in s.lemmas]
['car', 'auto', 'automobile', 'machine', 'motorcar', 'car', 'railcar', 'railway_car', 'railroad_car', 'car', 'gondola', 'car', 'elevator_car', 'cable_car', 'car']

Doind the same using Vocabulary

>>> from vocabulary import Vocabulary as vb
>>> vb.synonym("car")
'[{"seq": 0, "text": "automotive"}, {"seq": 1, "text": "motor"}, {"seq": 2, "text": "wagon"}, {"seq": 3, "text": "cart"}, {"seq": 4, "text": "automobile"}]'
>>>

So there you go. You get the data in an easy JSON format.

You can go on comparing for the other methods too.

Installation

Option 1: installing through pip (Suggested way)

pypi package link

$ pip install vocabulary

If you are behind a proxy

$ pip --proxy [username:password@]domain_name:port install vocabulary

Note: If you get command not found then $ sudo apt-get install python-pip should fix that

Option 2: Installing from source

$ git clone https://github.com/prodicus/vocabulary.git
$ cd vocabulary/
$ pip install -r requirements.txt
$ python setup.py install

Uninstalling

$ pip uninstall vocabulary

Demo

Demo link

Usage

A Simple demonstration of the module

## Importing the module
>>> from vocabulary import Vocabulary as vb

## Extracting "Meaning"
>>> vb.meaning("hillbilly")
'[{"text": "Someone who is from the hills; especially from a rural area, with a connotation of a lack of refinement or sophistication.", "seq": 0}, {"text": "someone who is from the hills", "seq": 1}, {"text": "A white person from the rural southern part of the United States.", "seq": 2}]'
>>> 

## "Synonym"
>>> vb.synonym("hurricane")
'[{"text": "storm", "seq": 0}, {"text": "tropical cyclone", "seq": 1}, {"text": "typhoon", "seq": 2}, {"text": "gale", "seq": 3}]'
>>> 

## "Antonym"
>>> vb.antonym("respect")
'{"text": ["disesteem", "disrespect"]}'
>>> vb.antonym("insane")
'{"text": ["sane"]}'

## "Part of Speech"
>>> vb.part_of_speech("hello")
'[{"text": "interjection", "example:": "Used to greet someone, answer the telephone, or express surprise.", "seq": 0}]'
>>>

## "Usage Examples"
>>> vb.usage_example("chicanery")
'[{"text": "The Bush Administration is now the commander-in-theif (lower-case intentional) thanks to their chicanery.", "seq": 0}]'
>>>

## "Pronunciation"
>>> vb.pronunciation("hippopotamus")
[{'raw': '(hĭpˌə-pŏtˈə-məs)', 'rawType': 'ahd-legacy', 'seq': 0}, {'raw': 'HH IH2 P AH0 P AA1 T AH0 M AH0 S', 'rawType': 'arpabet', 'seq': 0}]
>>>

## "Hyphenation"
>>> vb.hyphenation("hippopotamus")
'[{"text": "hip", "type": "secondary stress", "seq": 0}, {"text": "po", "seq": 1}, {"text": "pot", "type": "stress", "seq": 2}, {"text": "a", "seq": 3}, {"text": "mus", "seq": 4}]'
>>> vb.hyphenation("amazing")
'[{"text": "a", "seq": 0}, {"text": "maz", "type": "stress", "seq": 1}, {"text": "ing", "seq": 2}]'
>>>

Help

If you need to see the usage for any of the methods, do a

>>> from vocabulary import Vocabulary as vb
>>> help(vb.meaning)
Help on function meaning in module vocabulary.vocabulary:

meaning(phrase, source_lang='en', dest_lang='en')
    make calls to the
    - glosbe API(default choice)
    - Wordnik API 

    Wordnik's API gives less results so not Using it here for getting the meanings

    params: 
    =======
    source_lang, dest_lang (both default to "en" if nothing is specified)

    Usage: 
    ======
    >>> from vocabulary import Vocabulary as vb
    >>> vb.meaning("levitate")
    '[{"text": "(intransitive) Be suspended in the air, as if in defiance of gravity.", "seq": 0}, {"text": "(transitive) To cause to rise in the air and float, as if in defiance of gravity.", "seq": 1}]'
    >>>
(END)

and so on for other functions

How does it work

Under the hood, it makes use of 4 awesome API's to give you consistent results. The API's being

Wordnik
Glosbe
BighugeLabs
Urbandict

Contributing

Feel free to contribute

Fork it.
Create your feature branch (git checkout -b my-new-awesome-feature)
Commit your changes (git commit -am 'Added <xyz> feature')
Push to the branch (git push origin my-new-awesome-feature)
Create new Pull Request

To do

Add translate module

Tests

Vocabulary uses unittesting for testing.

Run the test cases by doing a

$ ./tests.py -v
test_antonym_1 (__main__.TestModule) ... ok
test_antonym_2 (__main__.TestModule) ... ok
test_hyphenation (__main__.TestModule) ... ok
test_meaning (__main__.TestModule) ... ok
test_partOfSpeech_1 (__main__.TestModule) ... ok
test_partOfSpeech_2 (__main__.TestModule) ... ok
test_pronunciation (__main__.TestModule) ... ok
test_synonym (__main__.TestModule) ... ok
test_usageExamples (__main__.TestModule) ... ok

----------------------------------------------------------------------
Ran 9 tests in 7.742s

OK
(testvocab)

Known Issues

When using the method

>>> vb.pronunciation("hippopotamus")
[{'raw': '(hĭpˌə-pŏtˈə-məs)', 'rawType': 'ahd-legacy', 'seq': 0}, {'raw': 'HH IH2 P AH0 P AA1 T AH0 M AH0 S', 'rawType': 'arpabet', 'seq': 0}]
>>> type(vb.pronunciation("hippopotamus"))
<class 'list'>
>>> >>> json.dumps(vb.pronunciation("hippopotamus"))
'[{"raw": "(h\\u012dp\\u02cc\\u0259-p\\u014ft\\u02c8\\u0259-m\\u0259s)", "rawType": "ahd-legacy", "seq": 0}, {"raw": "HH IH2 P AH0 P AA1 T AH0 M AH0 S", "rawType": "arpabet", "seq": 0}]'
>>>

You are being returned a list object instead of a JSON object. When returning the latter, there are some unicode issues. A fix for this will be released soon.

Changelog

0.0.4

JSON inconsistency fixed for the methods
- vb.hyphenation()
- vb.part_of_speech()
- vb.meaning()

Bugs

Please report the bugs at the issue tracker

License :

You can find a copy of the License at http://prodicus.mit-license.org/

Built With

python

Updates

Tasdik Rahman posted an update — Dec 02, 2015 02:06 AM EST

Version 0.0.4 released!

0.0.4

JSON inconsistency fixed for the methods
- vb.hyphenation()
- vb.part_of_speech()
- vb.meaning()

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Tasdik Rahman started this project — Nov 30, 2015 05:36 PM EST

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Vocabulary

Table of Contents

What is it

Features

Why should I use Vocabulary

Wordnet Comparison

Installation

Option 1: installing through pip (Suggested way)

Option 2: Installing from source

Uninstalling

Demo

Usage

Help

How does it work

Contributing

To do

Tests

Known Issues

Changelog

0.0.4

Bugs

License :

Built With

Updates

0.0.4